• DocumentCode
    384655
  • Title

    Hidden Markov models for silhouette classification

  • Author

    Abd-Almageed, Wael ; Smith, Christopher

  • Author_Institution
    Electr. & Comput. Eng. Dept., New Mexico Univ., Albuquerque, NM, USA
  • Volume
    13
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    395
  • Lastpage
    402
  • Abstract
    In this paper, a new technique for object classification from silhouettes is presented. Hidden Markov models are used as a classification mechanism. Through a set of experiments, we show the validity of our approach and show its invariance under severe rotation conditions. Also, a comparison with other techniques that use hidden Markov models for object classification from silhouettes is presented.
  • Keywords
    hidden Markov models; image classification; object recognition; HMM; hidden Markov models; object classification; silhouette classification; Computer vision; Feature extraction; Fourier transforms; Hidden Markov models; Neural networks; Parameter estimation; Pattern recognition; Probability distribution; Shape measurement; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2002 Proceedings of the 5th Biannual World
  • Print_ISBN
    1-889335-18-5
  • Type

    conf

  • DOI
    10.1109/WAC.2002.1049575
  • Filename
    1049575
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=384655